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We are looking for a Data Engineering team lead (m/f/d) to lead a team of engineers responsible for building and maintaining the data foundations that power our marketing, commercial, and analytics domains. This role combines people leadership with hands-on technical depth in Python, SQL, and modern data engineering practices. You will ensure the team delivers high-quality, scalable data pipelines and models, works effectively with cross-functional partners, and operates with strong ownership and engineering excellence.
Verantwortlichkeiten:
Lead, mentor, and grow a team of Data Engineers, fostering a high-performing and collaborative culture
Own the design, development, and maintenance of data pipelines supporting B2C marketing, B2B marketing, and commercial domains
Promote best practices in data architecture, data modeling, testing, and observability
Provide hands-on technical guidance and review complex Python, SQL, and dbt implementations when needed
Ensure reliable and scalable data flows across tracking, attribution, customer journeys, and performance reporting
Collaborate closely with Analytics, Data Science, Marketing, Product, and Commercial teams to translate business needs into robust data solutions
Drive continuous improvements in data quality, cost efficiency, and engineering standards
Anforderungen:
Proven experience leading and developing Data Engineers (first-line management), combined with a strong hands-on background in Python, SQL, and modern data engineering practices
Experience working with cloud-based data platforms and orchestration tools, including technologies such as Python, SQL, dbt, Airflow, AWS (S3, Lambda), Redshift or similar data warehouses, Kafka or other event-driven systems, and Infrastructure-as-Code (e.g. Terraform)
Familiarity with marketing and commercial data sources such as GA4, Adjust, or comparable tools is a strong advantage
Ability to build and operate stable, scalable, and well-tested data pipelines and high-quality data models with strong documentation and observability
Excellent communication and stakeholder management skills, enabling trusted collaboration with Marketing, Product, Commercial, Analytics, and Data teams
Demonstrated focus on continuous improvement in data quality, reliability, cost efficiency, and overall engineering maturity
Wünschenswert:
Familiarity with marketing and commercial data sources such as GA4, Adjust, or comparable tools
Was wir biete:
30 days of holidays + 1 Cultural Heritage Day + 2 extra days for Christmas and New Year's Eve
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